• bitcoinBitcoin(BTC)$64,262.00-0.30%
  • ethereumEthereum(ETH)$1,897.32-0.20%
  • tetherTether(USDT)$1.000.00%
  • binancecoinBNB(BNB)$593.23-0.10%
  • usd-coinUSDC(USDC)$1.000.00%
  • rippleXRP(XRP)$1.02-2.20%
  • solanaSolana(SOL)$72.61-1.40%
  • tronTRON(TRX)$0.327636-0.50%
  • Figure HelocFigure Heloc(FIGR_HELOC)$1.040.20%
  • HyperliquidHyperliquid(HYPE)$55.52-1.40%
  • dogecoinDogecoin(DOGE)$0.069111-0.60%
  • USDSUSDS(USDS)$1.000.00%
  • RainRain(RAIN)$0.012563-0.30%
  • leo-tokenLEO Token(LEO)$9.75-0.20%
  • zcashZcash(ZEC)$503.79-0.60%
  • cardanoCardano(ADA)$0.1995904.90%
  • moneroMonero(XMR)$368.040.60%
  • whitebitWhiteBIT Coin(WBT)$55.64-0.40%
  • chainlinkChainlink(LINK)$8.170.80%
  • stellarStellar(XLM)$0.160673-0.20%
  • daiDai(DAI)$1.000.00%
  • bitcoin-cashBitcoin Cash(BCH)$213.24-0.20%
  • USD1USD1(USD1)$1.000.00%
  • Ethena USDeEthena USDe(USDE)$1.000.00%
  • the-open-networkGram (prev. Toncoin)(GRAM)$1.31-2.70%
  • CantonCanton(CC)$0.090382-12.20%
  • litecoinLitecoin(LTC)$45.510.70%
  • Global DollarGlobal Dollar(USDG)$1.000.00%
  • Circle USYCCircle USYC(USYC)$1.130.00%
  • hedera-hashgraphHedera(HBAR)$0.068165-1.00%
  • avalanche-2Avalanche(AVAX)$6.41-3.10%
  • shiba-inuShiba Inu(SHIB)$0.000005-2.80%
  • suiSui(SUI)$0.67-1.50%
  • paypal-usdPayPal USD(PYUSD)$1.000.00%
  • BlackRock USD Institutional Digital Liquidity FundBlackRock USD Institutional Digital Liquidity Fund(BUIDL)$1.000.00%
  • tether-goldTether Gold(XAUT)$4,241.28-0.80%
  • uniswapUniswap(UNI)$4.02-0.60%
  • crypto-com-chainCronos(CRO)$0.053079-0.90%
  • nearNEAR Protocol(NEAR)$1.65-3.60%
  • Ondo US Dollar YieldOndo US Dollar Yield(USDY)$1.140.10%
  • pax-goldPAX Gold(PAXG)$4,252.58-0.80%
  • BittensorBittensor(TAO)$191.47-2.10%
  • okbOKB(OKB)$87.200.00%
  • OndoOndo(ONDO)$0.350763-4.70%
  • World Liberty FinancialWorld Liberty Financial(WLFI)$0.052549-1.50%
  • HTX DAOHTX DAO(HTX)$0.000002-0.10%
  • AsterAster(ASTER)$0.60-1.20%
  • Ripple USDRipple USD(RLUSD)$1.000.00%
  • usddUSDD(USDD)$1.000.10%
  • MemeCoreMemeCore(M)$1.16-4.80%
TradePoint.io
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop
No Result
View All Result
TradePoint.io
No Result
View All Result

Pixel-Native RAG: A Practical Guide to Visual Document Indexing

August 4, 2026
in AI & Technology
Reading Time: 6 mins read
A A
Pixel-Native RAG: A Practical Guide to Visual Document Indexing
ShareShareShareShareShare

YOU MAY ALSO LIKE

No cloud, no GPUs, no problem: Liquid AI’s new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

Google Open-Sources An AI Model It Says Can Help With Earlier Hurricane Warnings

@dataclass
class Tile:
   tile_id: str
   doc_id: str
   source: str
   kind: str
   page: int
   seq: int
   y0: int
   y1: int
   path: str
   ocr_text: str = ""
   title: str = ""
def _doc_id_from_source(src: str) -> str:
   tail = src.rstrip("/").split("/")[-1] or src
   tail = re.sub(r"\.(html?|pdf|png|jpg)$", "", tail, flags=re.I)
   return re.sub(r"[^A-Za-z0-9_.\-()]+", "_", tail)[:80] or hashlib.md5(src.encode()).hexdigest()[:10]
def _ahash(img, size: int = 8) -> int:
   """64-bit average hash — cheap near-duplicate detection for repeated headers."""
   import numpy as np
   g = img.convert("L").resize((size, size))
   a = np.asarray(g, dtype="float32")
   bits = (a > a.mean()).flatten()
   out = 0
   for b in bits:
       out = (out << 1) | int(b)
   return out
def _hamming(a: int, b: int) -> int:
   return bin(a ^ b).count("1")
def _is_informative(img, cfg: Config) -> bool:
   """Reject blank / solid-colour tiles before they ever reach the GPU."""
   import numpy as np
   a = np.asarray(img.convert("L"), dtype="float32")
   return float(a.std()) >= cfg.blank_std_threshold
def _save_tile(img, out_dir: Path, name: str) -> str:
   out_dir.mkdir(parents=True, exist_ok=True)
   p = out_dir / f"{name}.png"
   img.convert("RGB").save(p, format="PNG", optimize=True)
   return str(p)
def slice_image_to_tiles(img, cfg: Config, *, doc_id: str, source: str, kind: str,
                        page: int, out_dir: Path, start_seq: int = 0,
                        seen_hashes: Optional[List[int]] = None,
                        title: str = "") -> List[Tile]:
   """Vertical sliding window with overlap. Used for PDFs and text fallback."""
   from PIL import Image
   seen_hashes = seen_hashes if seen_hashes is not None else []
   W, H = img.size
   if W != cfg.tile_width:
       new_h = max(1, int(H * cfg.tile_width / W))
       img = img.resize((cfg.tile_width, new_h))
       W, H = img.size
   step = max(1, cfg.tile_height - cfg.tile_overlap)
   tiles: List[Tile] = []
   y, seq = 0, start_seq
   while y < H and (seq - start_seq) < cfg.max_tiles_per_doc:
       h = min(cfg.tile_height, H - y)
       if h < cfg.min_tile_height and seq > start_seq:
           break
       crop = img.crop((0, y, W, y + h))
       if _is_informative(crop, cfg):
           hsh = _ahash(crop)
           if all(_hamming(hsh, s) > cfg.dedup_hamming for s in seen_hashes):
               seen_hashes.append(hsh)
               tid = f"{doc_id}__p{page}__t{seq}"
               tiles.append(Tile(
                   tile_id=tid, doc_id=doc_id, source=source, kind=kind, page=page,
                   seq=seq, y0=y, y1=y + h, title=title,
                   path=_save_tile(crop, out_dir, tid),
               ))
               seq += 1
       y += step
   return tiles
_JS_AUTOSCROLL = """
async () => {
 await new Promise((resolve) => {
   let y = 0;
   const timer = setInterval(() => {
     window.scrollBy(0, 800);
     y += 800;
     if (y >= document.body.scrollHeight || y > 40000) {
       clearInterval(timer);
       window.scrollTo(0, 0);
       setTimeout(resolve, 250);
     }
   }, 40);
 });
}
"""
_JS_FLATTEN = """
() => {
 document.querySelectorAll('*').forEach((el) => {
   const s = getComputedStyle(el);
   if (s.position === 'fixed' || s.position === 'sticky') el.style.position = 'absolute';
 });
 document.querySelectorAll('[role="dialog"], .cookie, #cookie-banner, .cc-banner')
   .forEach((el) => el.remove());
}
"""
_CSS_CLEANUP = """
* { animation: none !important; transition: none !important;
   scroll-behavior: auto !important; }
html { -webkit-font-smoothing: antialiased; }
video, iframe[src*="youtube"] { visibility: hidden !important; }
"""
_UA = ("Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) "
      "Chrome/124.0 Safari/537.36 PixelRAG-Tutorial/1.0")
async def _render_urls_async(urls: List[str], cfg: Config, out_dir: Path) -> List[Tile]:
   from playwright.async_api import async_playwright
   from PIL import Image
   all_tiles: List[Tile] = []
   async with async_playwright() as pw:
       browser = await pw.chromium.launch(headless=True, args=cfg.headless_args)
       ctx = await browser.new_context(
           viewport={"width": cfg.tile_width, "height": cfg.tile_height},
           device_scale_factor=cfg.device_scale,
           user_agent=_UA,
           java_script_enabled=True,
       )
       for url in urls:
           doc_id = _doc_id_from_source(url)
           page = await ctx.new_page()
           try:
               await page.goto(url, wait_until="domcontentloaded", timeout=cfg.nav_timeout_ms)
               try:
                   await page.wait_for_load_state("networkidle", timeout=12000)
               except Exception:
                   pass
               await page.evaluate(_JS_AUTOSCROLL)
               await page.add_style_tag(content=_CSS_CLEANUP)
               await page.evaluate(_JS_FLATTEN)
               title = (await page.title()) or doc_id
               height = await page.evaluate(
                   "() => Math.max(document.body.scrollHeight, "
                   "document.documentElement.scrollHeight)")
               height = int(min(height, cfg.max_page_height))
               step = max(1, cfg.tile_height - cfg.tile_overlap)
               seen: List[int] = []
               y, seq = 0, 0
               while y < height and seq < cfg.max_tiles_per_doc:
                   h = min(cfg.tile_height, height - y)
                   if h < cfg.min_tile_height and seq > 0:
                       break
                   buf = await page.screenshot(
                       full_page=True, type="png",
                       clip={"x": 0, "y": y, "width": cfg.tile_width, "height": h})
                   img = Image.open(io.BytesIO(buf)).convert("RGB")
                   if img.size[0] != cfg.tile_width:
                       img = img.resize((cfg.tile_width,
                                         max(1, int(img.size[1] * cfg.tile_width / img.size[0]))))
                   if _is_informative(img, cfg):
                       hsh = _ahash(img)
                       if all(_hamming(hsh, s) > cfg.dedup_hamming for s in seen):
                           seen.append(hsh)
                           tid = f"{doc_id}__p0__t{seq}"
                           all_tiles.append(Tile(
                               tile_id=tid, doc_id=doc_id, source=url, kind="web",
                               page=0, seq=seq, y0=y, y1=y + h, title=title,
                               path=_save_tile(img, out_dir, tid)))
                           seq += 1
                   y += step
               log.info("  rendered %-34s -> %2d tiles (page %dpx)", doc_id, seq, height)
           except Exception as exc:
               log.warning("  FAILED %s (%s)", url, type(exc).__name__)
           finally:
               await page.close()
       await ctx.close()
       await browser.close()
   return all_tiles
def render_urls(urls: List[str], cfg: Config, out_dir: Path) -> List[Tile]:
   """Screenshot every URL into tiles; degrade to the text renderer on failure."""
   try:
       tiles = run_async(_render_urls_async(urls, cfg, out_dir))
       if tiles:
           return tiles
       log.warning("Browser produced no tiles — using text-render fallback.")
   except Exception as exc:
       log.warning("Playwright unavailable (%s: %s) — using text-render fallback.",
                   type(exc).__name__, str(exc)[:160])
   return [t for u in urls for t in render_url_as_text(u, cfg, out_dir)]
def _strip_html(html: str) -> str:
   html = re.sub(r"(?is)<(script|style|nav|footer|header|noscript).*?", " ", html)
   html = re.sub(r"(?s)", " ", html)
   html = re.sub(r"(?i)", "\n", html)
   text = re.sub(r"(?s)<[^>]+>", " ", html)
   for a, b in [(" ", " "), ("&", "&"), ("<", "<"), (">", ">"), (""", '"')]:
       text = text.replace(a, b)
   text = re.sub(r"\[\d+\]", "", text)
   text = re.sub(r"[ \t]+", " ", text)
   return re.sub(r"\n{2,}", "\n", text).strip()
def _mono_font(size: int = 20):
   from PIL import ImageFont
   for cand in ("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf",
                "/usr/share/fonts/truetype/liberation/LiberationSans-Regular.ttf"):
       if os.path.exists(cand):
           return ImageFont.truetype(cand, size)
   try:
       import matplotlib.font_manager as fm
       return ImageFont.truetype(fm.findfont("DejaVu Sans"), size)
   except Exception:
       return ImageFont.load_default()
def text_to_image(text: str, cfg: Config, title: str = "") -> Any:
   """Render plain text onto a tall white canvas — a browser-free stand-in."""
   from PIL import Image, ImageDraw
   font, tfont = _mono_font(20), _mono_font(30)
   pad, lh, wrap = 40, 30, max(20, (cfg.tile_width - 80) // 11)
   lines: List[str] = []
   for para in text.split("\n"):
       para = para.strip()
       if not para:
           continue
       while len(para) > wrap:
           cut = para.rfind(" ", 0, wrap)
           cut = cut if cut > 0 else wrap
           lines.append(para[:cut])
           para = para[cut:].lstrip()
       lines.append(para)
   lines = lines[:900]
   height = pad * 2 + 60 + lh * len(lines)
   img = Image.new("RGB", (cfg.tile_width, max(cfg.tile_height, height)), "white")
   d = ImageDraw.Draw(img)
   d.text((pad, pad), title[:60], font=tfont, fill=(15, 15, 15))
   for i, ln in enumerate(lines):
       d.text((pad, pad + 60 + i * lh), ln, font=font, fill=(35, 35, 35))
   return img
def render_url_as_text(url: str, cfg: Config, out_dir: Path) -> List[Tile]:
   import requests
   doc_id = _doc_id_from_source(url)
   try:
       r = requests.get(url, timeout=30, headers={"User-Agent": _UA})
       r.raise_for_status()
       body = _strip_html(r.text)
       m = re.search(r"(?is)(.*?)", r.text)
       title = m.group(1).strip() if m else doc_id
   except Exception as exc:
       log.warning("  fetch failed for %s (%s)", url, type(exc).__name__)
       return []
   img = text_to_image(body, cfg, title=title)
   log.info("  text-rendered %-30s -> canvas %dpx", doc_id, img.size[1])
   return slice_image_to_tiles(img, cfg, doc_id=doc_id, source=url, kind="text",
                               page=0, out_dir=out_dir, title=title)
def render_pdf(pdf_path: str, cfg: Config, out_dir: Path, dpi: int = 150) -> List[Tile]:
   import fitz
   from PIL import Image
   doc_id = _doc_id_from_source(pdf_path)
   tiles: List[Tile] = []
   with fitz.open(pdf_path) as doc:
       title = (doc.metadata or {}).get("title") or doc_id
       n_pages = doc.page_count
       for pno in range(n_pages):
           pix = doc[pno].get_pixmap(dpi=dpi)
           img = Image.frombytes("RGB", (pix.width, pix.height), pix.samples)
           tiles += slice_image_to_tiles(img, cfg, doc_id=doc_id, source=pdf_path,
                                         kind="pdf", page=pno, out_dir=out_dir,
                                         title=title)
   log.info("  rendered %-34s -> %2d tiles (%d pages)", doc_id, len(tiles), n_pages)
   return tiles
def make_synthetic_pdf(path: Path) -> str:
   """A tiny PDF so the tutorial always exercises the PDF path, offline or not."""
   import fitz
   body = [
       ("PixelRAG Internal Note", 22),
       ("", 12),
       ("Why pixel-native retrieval?", 16),
       ("Parsers are per-site glue code. A renderer is one code path for every", 11),
       ("document type: HTML, PDF, scanned fax, spreadsheet export, dashboard.", 11),
       ("", 11),
       ("Tiling policy", 16),
       ("Tiles are 1024x1024 with 128px of vertical overlap. Overlap keeps a", 11),
       ("sentence or table row from being split across two embeddings, which is", 11),
       ("the single biggest source of recall loss in naive screenshot pipelines.", 11),
       ("", 11),
       ("Serving", 16),
       ("FAISS inner-product over L2-normalised vectors equals cosine similarity.", 11),
       ("Tile scores are max-pooled per document so one strong tile can surface", 11),
       ("a long page, mirroring late-interaction retrieval behaviour.", 11),
       ("", 11),
       ("The mitochondria reference is a joke; the overlap advice is not.", 11),
   ]
   doc = fitz.open()
   page = doc.new_page()
   y = 72
   for line, size in body:
       page.insert_text((72, y), line, fontsize=size, fontname="helv")
       y += size + 8
   doc.save(str(path))
   doc.close()
   return str(path)

Credit: Source link

ShareTweetSendSharePin

Related Posts

No cloud, no GPUs, no problem: Liquid AI’s new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi
AI & Technology

No cloud, no GPUs, no problem: Liquid AI’s new model LFM2.5-2.6B brings powerful AI agents to devices as small as a Raspberry Pi

August 6, 2026
Google Open-Sources An AI Model It Says Can Help With Earlier Hurricane Warnings
AI & Technology

Google Open-Sources An AI Model It Says Can Help With Earlier Hurricane Warnings

August 6, 2026
OpenAI’s Ring-Shaped Smart Speaker Will Reportedly Cost Between 0 And 0
AI & Technology

OpenAI’s Ring-Shaped Smart Speaker Will Reportedly Cost Between $300 And $400

August 6, 2026
AMD Buys Taalas to Put Hard-Wired AI Models in Its Accelerator Roadmap – Unite.AI
AI & Technology

AMD Buys Taalas to Put Hard-Wired AI Models in Its Accelerator Roadmap – Unite.AI

August 6, 2026
Next Post
Texas Governor Orders Audit Of New Data Centers After Realizing Over 400 Gigawatts Of Power Is A Lot

Texas Governor Orders Audit Of New Data Centers After Realizing Over 400 Gigawatts Of Power Is A Lot

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Search

No Result
View All Result
Will Mayor Mamdani keep sporting his full suit in 90-degree summer heat?

Will Mayor Mamdani keep sporting his full suit in 90-degree summer heat?

August 6, 2026
America 250 time capsule is lowered into its resting spot for the next 250 years

America 250 time capsule is lowered into its resting spot for the next 250 years

August 6, 2026
Toddler declared dead at hospital is later pronounced alive

Toddler declared dead at hospital is later pronounced alive

August 6, 2026

About

Learn more

Our Services

Legal

Privacy Policy

Terms of Use

Bloggers

Learn more

Article Links

Contact

Advertise

Ask us anything

©2020- TradePoint.io - All rights reserved!

Tradepoint.io, being just a publishing and technology platform, is not a registered broker-dealer or investment adviser. So we do not provide investment advice. Rather, brokerage services are provided to clients of Tradepoint.io by independent SEC-registered broker-dealers and members of FINRA/SIPC. Every form of investing carries some risk and past performance is not a guarantee of future results. “Tradepoint.io“, “Instant Investing” and “My Trading Tools” are registered trademarks of Apperbuild, LLC.

This website is operated by Apperbuild, LLC. We have no link to any brokerage firm and we do not provide investment advice. Every information and resource we provide is solely for the education of our readers. © 2020 Apperbuild, LLC. All rights reserved.

No Result
View All Result
  • Main
  • AI & Technology
  • Stock Charts
  • Market & News
  • Business
  • Finance Tips
  • Trade Tube
  • Blog
  • Shop

© 2023 - TradePoint.io - All Rights Reserved!